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README.md
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---
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library_name: peft
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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tags:
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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
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- llama-factory
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- transformers
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pipeline_tag: text-generation
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model-index:
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- name: train_gsm8k_123_1760637708
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# train_gsm8k_123_1760637708
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5359
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- Num Input Tokens Seen: 30837792
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 123
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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| 0.4825 | 2.0 | 2990 | 0.5423 | 3073904 |
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| 0.4576 | 4.0 | 5980 | 0.5077 | 6160576 |
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| 0.5076 | 6.0 | 8970 | 0.4979 | 9246832 |
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| 0.3616 | 8.0 | 11960 | 0.4952 | 12330800 |
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| 0.4245 | 10.0 | 14950 | 0.4962 | 15414800 |
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| 0.3441 | 12.0 | 17940 | 0.5092 | 18492000 |
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| 0.3093 | 14.0 | 20930 | 0.5210 | 21579648 |
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| 0.3145 | 16.0 | 23920 | 0.5284 | 24669056 |
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| 0.3427 | 18.0 | 26910 | 0.5340 | 27752896 |
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| 0.3472 | 20.0 | 29900 | 0.5359 | 30837792 |
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### Framework versions
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- PEFT 0.17.1
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- Transformers 4.51.3
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- Pytorch 2.9.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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